I am a lead researcher at Stability AI. In the past, I was a researcher at Google Research and Nvidia Research. I completed my PhD at Perceiving Systems department, Max-Planck Institute (MPI) for Intelligent Systems in Tübingen, Germany. My PhD advisor was Prof. Peter V. Gehler. I did my bachelors and masters in Computer Science at IIIT-Hyderabad, India.
My research interests include 3D/4D Computer Vision and Machine Learning. Specifically, I am mainly interested in automatic 3D and 4D object understanding from internet image collections and videos leveraging both reconstruction and generation techniques. In addition, I also work on understanding and generating creative images such as visual metaphors, paintings etc.
If you are interested in joining my 3D team at Stability or research collaborations or internships, please drop me an email with your CV.
January, 2024 : A paper on ‘Controllable human motion generation’ accepted to ICLR’24.
January, 2024 : Area chairing for ICML’24 and ECCV’24.
November, 2023 : Joined Stability AI as a 3D research lead.
October, 2023 : Invited talk on ‘3D of Everything from internet image collections’ at ICCV’23 tutorial on Learning with Noisy and Unlabeled Data.
October, 2023 : A paper on ‘Articulated hand-object pose estimation’ (oral) accepted to 3DV’24.
September, 2023 : Papers on ‘Articulated animal reconstruction from noisy internet images (ARTIC3D)’, ‘A dataset of image collections with near-perfect 3D annotations’ (NAVI, benchmark track), ‘Stable diffusion complements Dino for zero-shot semantic correspondences’ and ‘Using LLMs for layout generation (LayoutGPT)’ accepted to NeurIPS’23.
September, 2023 : Area chairing for ICLR’24.
July, 2023 : Papers on ‘DreamBooth3D’, ‘Aligning sparse image collections (ASIC)’ and ‘NeRF and pose optimization (LU-NeRF)’ accepted to ICCV’23.
July, 2023 : Guest editor for IJCV special issue on ‘Large-Scale Generative Models for Content Creation and Manipulation’.
varunjampani@gmail.com
Stability AI
Boston, MA, USA.
Refer to my Google Scholar page for a more up-to-date list of publications.
V. Jampani*, K. K. Maninis*, A. Engelhardt, A. Karpur, K. Truong, K. Sargent, S. Popov, A. Araujo, R. M. Brualla, K. Patel, D. Vlasic, V. Ferrari, A. Makadia, C. Liu, Y. Li, H. Zhou (*equal contribution)
Neural Information Processing Systems, NeurIPS’23
C-H. Yao, A. Raj, W-C. Hung, Y. Li, M. Rubinstein, M-H. Yang, V. Jampani
Neural Information Processing Systems, NeurIPS’23
W. Feng*, W. Zhu*, T-J. Fu, V. Jampani, A. Akula, X. He, S. Basu, X. E. Wang, W. Y. Wang (*equal contribution)
Neural Information Processing Systems, NeurIPS’23
J. Zhang, C. Herrmann, J. Hur, L. P. Cabrera, V. Jampani, D. Sun, M-H. Yang
Neural Information Processing Systems, NeurIPS’23
A. Raj, S. Kaza, B. Poole, M. Niemeyer, N. Ruiz, B. Mildenhall, S. Zada, K. Aberman, M. Rubinstein, J. Barron, Y, Li, V. Jampani
International Conference on Computer Vision, ICCV’23
pdf / project page / video
K. Gupta, V. Jampani, C. Esteves, A. Shrivastava, A. Makadia, N. Snavely, A. Kar
International Conference on Computer Vision, ICCV’23
pdf / project page / video
Z. Cheng, C. Esteves, V. Jampani, A. Kar, S. Maji, A. Makadia
International Conference on Computer Vision, ICCV’23
A. Akula, B. Driscoll, P. Narayana, S. Changpinyo, Z. Jia, S. Damle, G. Pruthi, S. Basu, L. Guibas, W. T. Freeman, Y. Li, V. Jampani
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video
C-H. Yao, W-C. Hung, Y. Li, M. Rubinstein, M-H. Yang, V. Jampani
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video / code (github)
G. Li, V. Jampani, D. Sun, L. Sevilla-Lara
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video / code (github)
N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, K. Aberman (oral, best student paper honorable mention)
Computer Vision and Pattern Recognition, CVPR’23
Z. Huang, V. Jampani, N. A. Thai, Y. Li, S. Stojanov, J. M. Rehg
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video / code (github)
H. Rangwani, L. Bansal, K. Sharma, T. Karmali, V. Jampani, R. V. Babu
Computer Vision and Pattern Recognition, CVPR’23
W. Feng, X. He, T. J. Fu, V. Jampani, A. Akula, P. Narayana, S. Basu, X. E. Wang, W. Y. Wang
International Conference on Learning Representations, ICLR’23
C-H. Yao, W-C. Hung, Y. Li, M. Rubinstein, M-H. Yang, V. Jampani
Neural Information Processing Systems, NeurIPS’22
pdf / project page / video / code (github)
M. Boss, A. Engelhardt, A. Kar, Y. Li, D. Sun, J. Barron, H. Lensch, V. Jampani
Neural Information Processing Systems, NeurIPS’22
pdf / project page / video / code (github)
G. Yang, S. Benaim, V. Jampani, K. Genova, J. Barron, T. Funkhouser, B. Hariharan, S. Belongie
Neural Information Processing Systems, NeurIPS’22
J. N. Kundu*, S. Bhambri*, A. Kulkarni*, H. Sarkar, V. Jampani, R. V. Babu (*equal contribution)
Neural Information Processing Systems, NeurIPS’22
pdf / project page / video
X. He, D. Yang, W. Feng, T. J. Fu, A. Akula, V. Jampani, P. Narayana, S. Basu, W. Y. Wang, X. E. Wang
Empirical Methods in Natural Language Processing, EMNLP’22
R. Jasti, V. Jampani, D. Sun, M-H. Yang
International Conference on Image Processing, ICIP’22
Z. Huang, S. Stojanov, A. Thai, V. Jampani, J. M. Rehg
European Conference on Computer Vision, ECCV’22
H. Rangwani, N. Jaswani, T. Karmali, V. Jampani, R. V. Babu
European Conference on Computer Vision, ECCV’22
T. Karmali, R. Parihar, S. Agrawal, H. Rangwani, V. Jampani, M. Singh, R. V. Babu
European Conference on Computer Vision, ECCV’22
J. N. Kundu*, S. Bhambri*, A. Kulkarni*, H. Sarkar, V. Jampani, R. V. Babu (*equal contribution)
European Conference on Computer Vision, ECCV’22
pdf / project page / video / code (github)
J. N. Kundu*, A. Kulkarni*, S. Bhambri*, D. Mehta, S. Kulkarni, V. Jampani, R. V. Babu (*equal contribution)
International Conference on Machine Learning, ICML’22
pdf / project page / video / code (github)
K. A. Murphy, V. Jampani, S. Ramalingam, A. Makadia
Computer Vision and Pattern Recognition, CVPR’22
T. A. Habtegebrial, C. Gava, M. Rogge, D. Stricker, V. Jampani
Computer Vision and Pattern Recognition, CVPR’22
pdf / project page / video / code (github)
J. N. Kundu, S. Seth*, Y. Pradyumna*, V. Jampani, A. Chakraborty, R. V. Babu (*equal contribution)
Computer Vision and Pattern Recognition, CVPR’22
H. Song, D. Sun, S. Chun, V. Jampani, D. Han, B. Heo, W. Kim, M. H. Yang
International Conference on Learning Representations, ICLR’22
J. N. Kundu*, A. Kulkarni*, S. Bhambri*, V. Jampani, R. V. Babu (*equal contribution)
Association for the Advancement of Artificial Intelligence, AAAI’22
pdf / project page / video
Learning based techniques for better inference in several computer vision models ranging from inverse graphics to freely parameterized neural networks.
V. Jampani
PhD Thesis, MPI for Intelligent Systems and University of Tübingen, December, 2016
Eye tracking experimental studies and models for X-Ray Image Perception and Diagnosis.
V. Jampani
Master Thesis, IIIT-Hyderabad, January, 2013